{"title":"记录连接在好望角面板*","authors":"A. Rijpma, Jeanne Cilliers, J. Fourie","doi":"10.1080/01615440.2018.1517030","DOIUrl":null,"url":null,"abstract":"Abstract In this article, we describe the record linkage procedure to create a panel from Cape Colony census returns, or opgaafrolle, for 1787–1828, a dataset of 42,354 household-level observations. Based on a subset of manually linked records, we first evaluate statistical models and deterministic algorithms to best identify and match households over time. By using household-level characteristics in the linking process and near-annual data, we are able to create high-quality links for 84% of the dataset. We compare basic analyses on the linked panel dataset to the original cross-sectional data, evaluate the feasibility of the strategy when linking to supplementary sources, and discuss the scalability of our approach to the full Cape panel.","PeriodicalId":154465,"journal":{"name":"Historical Methods: A Journal of Quantitative and Interdisciplinary History","volume":"53 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Record linkage in the Cape of Good Hope Panel*\",\"authors\":\"A. Rijpma, Jeanne Cilliers, J. Fourie\",\"doi\":\"10.1080/01615440.2018.1517030\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Abstract In this article, we describe the record linkage procedure to create a panel from Cape Colony census returns, or opgaafrolle, for 1787–1828, a dataset of 42,354 household-level observations. Based on a subset of manually linked records, we first evaluate statistical models and deterministic algorithms to best identify and match households over time. By using household-level characteristics in the linking process and near-annual data, we are able to create high-quality links for 84% of the dataset. We compare basic analyses on the linked panel dataset to the original cross-sectional data, evaluate the feasibility of the strategy when linking to supplementary sources, and discuss the scalability of our approach to the full Cape panel.\",\"PeriodicalId\":154465,\"journal\":{\"name\":\"Historical Methods: A Journal of Quantitative and Interdisciplinary History\",\"volume\":\"53 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-02-14\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Historical Methods: A Journal of Quantitative and Interdisciplinary History\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/01615440.2018.1517030\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Historical Methods: A Journal of Quantitative and Interdisciplinary History","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/01615440.2018.1517030","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Abstract In this article, we describe the record linkage procedure to create a panel from Cape Colony census returns, or opgaafrolle, for 1787–1828, a dataset of 42,354 household-level observations. Based on a subset of manually linked records, we first evaluate statistical models and deterministic algorithms to best identify and match households over time. By using household-level characteristics in the linking process and near-annual data, we are able to create high-quality links for 84% of the dataset. We compare basic analyses on the linked panel dataset to the original cross-sectional data, evaluate the feasibility of the strategy when linking to supplementary sources, and discuss the scalability of our approach to the full Cape panel.